I’m Head of LLM Research at Carlyle, where I lead frontier research applying LLMs to private markets investing. I’m based in New York.
I recently graduated with my PhD from the MIT Computer Science & Artificial Intelligence Lab (CSAIL), where I was a member of the Laboratory of Financial Engineering advised by Professor Andrew W. Lo. My research was supported by the MIT Presidential Fellowship and the Mathworks Engineering Fellowship. I received a SM in Computer Science from MIT and a BS in Computer Science and Philosophy from Columbia Engineering.
Research
I work on deploying large language models in finance. I focus on evaluating and post-training LLMs as financial experts, designing effective ways for people and LLMs to work together on financial decisions, and studying the broader effects of using LLMs in finance. Representative publications include:
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Ross, Jillian, Eric So, and Andrew W. Lo (2026), Breaking Bad Financial Habits: How LLM Conversations Correct Financial Misconceptions
Preprint
[arXiv] -
Igbinedion, Ifueko, Jillian Ross, Etienne Ricardez, Sertac Karaman, and Eric So (2026), Lost in Context: Discovering Context Anxiety in Large Language Models
International Conference on Machine Learning (ICML) -
Ross, Jillian, and Andrew W. Lo (2026), One Size Fits None: Do LLMs Provide Suitable Financial Advice?
ICLR Workshop on Advances in Financial AI (Best Paper)
[arXiv] -
Shen, Shannon Zejiang, Valerie Chen, Ken Gu, Alexis Ross, Zixian Ma, Jillian Ross, Alex Gu, Chenglei Si, Wayne Chi, Andi Peng, Jocelyn J. Shen, Ameet Talwalkar, Tongshuang Wu, and David Sontag (2025), Task Completion Agents are Not Ideal Collaborators
ACL Findings, NeurIPS Workshop on Socially Responsible and Trustworthy Foundation Models (Best Paper)
[arXiv] [Website] -
Renda, Alana, Jillian Ross, Michael Cafarella, and Jacob Andreas (2025), OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data
International Conference on Learning Representations (ICLR)
[arXiv] -
Lo, Andrew W., and Jillian Ross (2024), Can ChatGPT Plan Your Retirement?: Generative AI and Financial Advice
Harvard Data Science Review (Special Issue 5)
[HDSR] [Wall Street Journal] [MIT Sloan] -
Ross, Jillian, Yoon Kim, and Andrew W. Lo (2024), LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory
Conference on Language Modeling (COLM)
[arXiv]
Contact
Send me an email:
[firstname] [at] csail [dot] mit [dot] edu